Artificial intelligence for the detection of airway nodules in chest CT scans.
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| Title: | Artificial intelligence for the detection of airway nodules in chest CT scans. |
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| Authors: | Hendrix W; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. ward.hendrix@radboudumc.nl.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands. ward.hendrix@radboudumc.nl., Hendrix N; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.; Jheronimus Academy of Data Science, 's-Hertogenbosch, The Netherlands., Scholten ET; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., van Ginneken B; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., Prokop M; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands., Rutten M; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands., Jacobs C; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. |
| Source: | European radiology [Eur Radiol] 2025 Sep; Vol. 35 (9), pp. 5615-5625. Date of Electronic Publication: 2025 Mar 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-025-11468-6 |
